Triple
T17562617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anointing of Jesus at Bethany |
E427729
|
entity |
| Predicate | JesusResponse |
P20065
|
FINISHED |
| Object | defends the woman |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: defends the woman | Statement: [Anointing of Jesus at Bethany, JesusResponse, defends the woman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JesusResponse Context triple: [Anointing of Jesus at Bethany, JesusResponse, defends the woman]
-
A.
JesusResponsePattern
chosen
Indicates the characteristic way Jesus typically responds in a given situation, including his manner, tone, or type of action taken.
-
B.
recognizesJesusWhen
Indicates that one entity identifies or acknowledges Jesus as such under certain conditions or at a particular time.
-
C.
religiousResponse
Indicates a reaction, behavior, or expression that is specifically motivated by, shaped by, or directed toward religious beliefs, practices, or experiences.
-
D.
regardsJesusAs
Indicates that one entity holds a particular view, attitude, or evaluation of Jesus as another entity.
-
E.
JohnTheBaptistReaction
Indicates John the Baptist’s response, attitude, or behavior in reaction to a particular event, message, or person.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456285c808190953a49e77366d8bd |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fd7d048190b54ee4c6155612a5 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:50 a.m.